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Configuration settings for controlling the behavior and output relevance of model reranking processes.
Distinguishing note: Specific to AI model output refinement rather than general machine learning model training.
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MindsDB is an AI-native database engine that treats machine learning models and autonomous agents as virtual tables. By mapping external data sources, predictive models, and third-party services directly into the database schema, it enables users to perform inference, data retrieval, and complex orchestration using standard SQL syntax. The platform distinguishes itself through an autonomous agent orchestrator that executes iterative reasoning loops, allowing agents to plan data access and synthesize natural language responses from connected knowledge bases. It functions as a federated data ga
The platform provides parameters to control reranker behavior, including result counts, token limits, and probability reporting to prioritize model output relevance.